TW201312088A - Temperature-detecting system and temperature-detecting method - Google Patents
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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Abstract
Description
本發明係有關於一種偵測系統及偵測方法，特別是一種溫度偵測系統及溫度偵測方法。The invention relates to a detection system and a detection method, in particular to a temperature detection system and a temperature detection method.
資料中心包含了大量的電腦與機器；資料中心需要處理大量的資料，因此如果沒有良好的溫度偵測及空調，資料中心常常會過熱；當資料中心過熱時，資料中心的電腦與機器就會容易損壞。The data center contains a large number of computers and machines; the data center needs to process a large amount of data, so if there is no good temperature detection and air conditioning, the data center will often overheat; when the data center is overheated, the data center computer and machine will be easy. damage.
習知偵測資料中心溫度的方法，係在資料中心的機櫃的出風口處及入風口處設置複數之溫度感應器；在該些溫度感應器設置好之後，該些溫度感應器再串接在一起以連接到一感應器集線器（sensor Hub）；因此，該些溫度感應器係以輪詢的方式向該感應器集線器傳送該些溫度感應器所偵測到的溫度數據。The method for detecting the temperature of the data center is to set a plurality of temperature sensors at the air outlet of the cabinet of the data center and at the air inlet; after the temperature sensors are set, the temperature sensors are connected in series Together, they are connected to a sensor hub; therefore, the temperature sensors transmit the temperature data detected by the temperature sensors to the sensor hub in a polling manner.
上述習知偵測資料中心溫度的方法包含下列缺點：The above conventional method of detecting the temperature of the data center includes the following disadvantages:
1.需要溫度感應器，亦需要溫度感應器的佈線；因此有通訊干擾的問題。1. A temperature sensor is required, and wiring of the temperature sensor is also required; therefore, there is a problem of communication interference.
2.溫度數據不可即時反應，因為該些溫度感應器係以輪詢的方式向該感應器集線器傳送該些溫度感應器所偵測到的溫度數據。2. The temperature data is not immediately responsive because the temperature sensors transmit the temperature data detected by the temperature sensors to the sensor hub in a polling manner.
3.因為需要溫度感應器，所以有溫度感應器的能量耗損。3. Because of the need for a temperature sensor, there is a loss of energy from the temperature sensor.
4.因為需要溫度感應器，所以很難量測大量位置的溫度（因為溫度感應器數量越多，上述缺點1～3將越嚴重）。4. Because of the need for a temperature sensor, it is difficult to measure the temperature of a large number of locations (because the more the number of temperature sensors, the more serious the above disadvantages 1 to 3 will be).
為改善上述習知技術之缺點，本發明之目的在於提供一種溫度偵測系統。In order to improve the above disadvantages of the prior art, it is an object of the present invention to provide a temperature detecting system.
為改善上述習知技術之缺點，本發明之又一目的在於提供一種溫度偵測方法。In order to improve the above disadvantages of the prior art, it is still another object of the present invention to provide a temperature detecting method.
為達成本發明之上述目的，本發明之溫度偵測系統係設置於一資料中心，藉以監控該資料中心的溫度，該溫度偵測系統包含：複數被偵測物件，係設置在該資料中心的複數機櫃；一紅外線影像偵測裝置，係相對於該些被偵測物件設置；及一影像處理裝置，係電性連接至該紅外線影像偵測裝置。該紅外線影像偵測裝置獲得一鏡頭畫面影像；該影像處理裝置得知位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置；該影像處理裝置分析位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置的灰階色調以獲得相關的溫度數據。其中該影像處理裝置內建有對應該被偵測物件外緣形狀之數據，藉此該影像處理裝置可以比對該鏡頭畫面影像，並決定欲偵測溫度的該些被偵測物件的位置。In order to achieve the above object of the present invention, the temperature detecting system of the present invention is disposed in a data center to monitor the temperature of the data center, and the temperature detecting system includes: a plurality of detected objects, which are disposed in the data center. a plurality of cabinets; an infrared image detecting device disposed relative to the detected objects; and an image processing device electrically connected to the infrared image detecting device. The infrared image detecting device obtains a lens image; the image processing device knows the position of the detected object located in the lens image to detect the temperature; and the image processing device analyzes the image in the lens image A grayscale hue of the locations of the detected objects of the temperature is detected to obtain correlated temperature data. The image processing device has built-in data corresponding to the shape of the outer edge of the object to be detected, whereby the image processing device can compare the image of the lens image and determine the position of the detected objects to be detected.
為達成本發明之上述又一目的，本發明之溫度偵測方法係應用於一資料中心，藉以監控該資料中心的溫度，該溫度偵測方法包含：一紅外線影像偵測裝置獲得一鏡頭畫面影像；一影像處理裝置得知位於該鏡頭畫面影像中欲偵測溫度的複數被偵測物件的位置；該影像處理裝置分析位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置的灰階色調以獲得相關的溫度數據。其中該些被偵測物件係設置在該資料中心的複數機櫃；該影像處理裝置內建有對應該被偵測物件外緣形狀之數據，藉此該影像處理裝置可以比對該鏡頭畫面影像，並決定欲偵測溫度的該些被偵測物件的位置。In order to achieve the above-mentioned other object of the present invention, the temperature detecting method of the present invention is applied to a data center for monitoring the temperature of the data center, and the temperature detecting method comprises: obtaining an image of a lens image by an infrared image detecting device An image processing device knows the position of the plurality of detected objects located in the image of the lens image to detect the temperature; and the image processing device analyzes the positions of the detected objects located in the image of the lens image to be detected Grayscale tones to obtain relevant temperature data. The detected objects are disposed in a plurality of cabinets in the data center; the image processing device has data corresponding to the shape of the outer edge of the object to be detected, whereby the image processing device can compare the image of the lens. And determine the location of the detected objects to be detected.
本發明之功效在於以簡單快速的方式部署整個溫度量測系統，並可快速量測大量偵測點的溫度。The effect of the invention is to deploy the entire temperature measurement system in a simple and fast manner, and to quickly measure the temperature of a large number of detection points.
請參考第一圖，其係為本發明之溫度偵測系統方塊圖。本發明之溫度偵測系統10包含複數被偵測物件102、一紅外線影像偵測裝置104及一影像處理裝置106；該影像處理裝置106包含一影像分析單元110及一誤差校正單元112。Please refer to the first figure, which is a block diagram of the temperature detecting system of the present invention. The temperature detecting system 10 of the present invention includes a plurality of detected objects 102, an infrared image detecting device 104, and an image processing device 106. The image processing device 106 includes an image analyzing unit 110 and an error correcting unit 112.
在一實際之實施例，該溫度偵測系統10係設置於一資料中心20，藉以監控該資料中心20的溫度；該些被偵測物件102係設置在該資料中心20的複數機櫃202（如第三圖所示）。In a practical embodiment, the temperature detecting system 10 is disposed in a data center 20 to monitor the temperature of the data center 20; the detected objects 102 are disposed in the plurality of cabinets 202 of the data center 20 (eg, The third picture shows).
該紅外線影像偵測裝置104係相對於該些被偵測物件102設置；該影像處理裝置106係電性連接至該紅外線影像偵測裝置104；該影像分析單元110電性連接至該紅外線影像偵測裝置104；該誤差校正單元112電性連接至該影像分析單元110。The infrared image detecting device 104 is disposed relative to the detected object 102; the image processing device 106 is electrically connected to the infrared image detecting device 104; the image analyzing unit 110 is electrically connected to the infrared image detecting device The measuring device 104 is electrically connected to the image analyzing unit 110.
該誤差校正單元112係用以設定誤差校正參數，以減少該些被偵測物件102間差異所產生的影響。該紅外線影像偵測裝置104可為一紅外線攝影機。The error correction unit 112 is configured to set an error correction parameter to reduce the influence of the difference between the detected objects 102. The infrared image detecting device 104 can be an infrared camera.
請參考第二圖，其係為被偵測物件之一實施例示意圖。Please refer to the second figure, which is a schematic diagram of an embodiment of the detected object.
該被偵測物件102的外緣1022的材質係為一反射材質（例如一玻璃或一壓克力），如此該被偵測物件102的位置將容易被辨識。The material of the outer edge 1022 of the detected object 102 is a reflective material (for example, a glass or an acryl), so that the position of the detected object 102 will be easily recognized.
該被偵測物件102的內部1024的材質係為一反應環境溫度材質（例如一電工膠帶），如此該被偵測物件102將容易反應環境溫度。The material of the inner portion 1024 of the detected object 102 is a reactive ambient temperature material (for example, an electrical tape), so that the detected object 102 will easily react to the ambient temperature.
首先，該紅外線影像偵測裝置104獲得一鏡頭畫面影像；請參考第三圖，其係為鏡頭畫面影像之一實施例示意圖；該紅外線影像偵測裝置104獲得的該鏡頭畫面影像包含兩排該機櫃202及該些被偵測物件102。First, the infrared image detecting device 104 obtains a lens image; please refer to the third figure, which is a schematic diagram of an embodiment of the lens image; the image captured by the infrared image detecting device 104 includes two rows of the image. The cabinet 202 and the detected objects 102 are detected.
接著，該影像處理裝置106得知位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件102的位置；例如使用者觀看該紅外線影像偵測裝置104的畫面並圈選出欲偵測溫度的該些被偵測物件102的位置；或者是該影像處理裝置106內建有對應該被偵測物件102外緣形狀之數據，藉此該影像處理裝置106可以比對該鏡頭畫面影像，並決定欲偵測溫度的該些被偵測物件102的位置。Then, the image processing device 106 knows the positions of the detected objects 102 that are to be detected in the lens image. For example, the user views the image of the infrared image detecting device 104 and selects the temperature to be detected. The position of the detected object 102; or the image processing device 106 has data corresponding to the shape of the outer edge of the object 102 to be detected, whereby the image processing device 106 can compare the image of the lens image, and The position of the detected object 102 to be detected is determined.
最後，該影像處理裝置106分析位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件102的位置的灰階色調以獲得相關的溫度數據。Finally, the image processing device 106 analyzes the grayscale hue of the positions of the detected objects 102 that are to be detected in the lens image to obtain the relevant temperature data.
當該影像處理裝置106重新開機時，依據該影像處理裝置106上一次關機前該鏡頭畫面影像中欲偵測溫度的該些被偵測物件102的位置，該影像處理裝置106分析灰階色調以獲得相關的溫度數據；亦即，該影像處理裝置106關機前是分析哪些位置的灰階色調以獲得相關的溫度數據，在該影像處理裝置106重新開機後依舊分析那些位置的灰階色調以獲得相關的溫度數據。When the image processing device 106 is powered on, the image processing device 106 analyzes the grayscale hue according to the position of the detected object 102 in the lens image that is to be detected before the image processing device 106 is turned off. Obtaining relevant temperature data; that is, before the image processing device 106 is turned off, it is to analyze which positions of grayscale tones to obtain relevant temperature data, and after the image processing device 106 is restarted, the grayscale tones of those positions are still analyzed to obtain Relevant temperature data.
當該影像處理裝置106重新開機時，若該影像處理裝置106上一次關機前該鏡頭畫面影像中欲偵測溫度的該些被偵測物件102的位置與該影像處理裝置106重新開機後不同，該影像處理裝置106提出警示。例如增加了新的該被偵測物件102，或是某些該被偵測物件102被移除，或是某些被偵測物件102被移動過多；則該影像處理裝置106可內建例如蜂鳴器或發光二極體，藉以提出警示。When the image processing device 106 is powered on, if the image processing device 106 is turned off before the power is turned off, the position of the detected object 102 to be detected in the lens image is different from that after the image processing device 106 is turned on. The image processing device 106 presents an alert. For example, if the new detected object 102 is added, or some of the detected objects 102 are removed, or some of the detected objects 102 are moved too much, the image processing device 106 can be built in, for example, a buzzer. Or a light-emitting diode to give a warning.
請參考第五圖，其係為本發明之溫度偵測系統另一實施例方塊圖。本發明之溫度偵測系統10包含複數被偵測物件102、一紅外線影像偵測裝置104、一影像處理裝置106及一溫度處理裝置108；該影像處理裝置106包含一影像分析單元110及一誤差校正單元112。Please refer to the fifth figure, which is a block diagram of another embodiment of the temperature detecting system of the present invention. The temperature detecting system 10 of the present invention includes a plurality of detected objects 102, an infrared image detecting device 104, an image processing device 106, and a temperature processing device 108. The image processing device 106 includes an image analyzing unit 110 and an error. Correction unit 112.
在一實際之實施例，該溫度偵測系統10係設置於一資料中心20，藉以監控該資料中心20的溫度；該些被偵測物件102係設置在該資料中心20的複數機櫃202（如第三圖所示）。In a practical embodiment, the temperature detecting system 10 is disposed in a data center 20 to monitor the temperature of the data center 20; the detected objects 102 are disposed in the plurality of cabinets 202 of the data center 20 (eg, The third picture shows).
該紅外線影像偵測裝置104係相對於該些被偵測物件102設置；該影像處理裝置106係電性連接至該紅外線影像偵測裝置104及該溫度處理裝置108；該影像分析單元110電性連接至該紅外線影像偵測裝置104；該誤差校正單元112電性連接至該影像分析單元110。The infrared image detecting device 104 is disposed relative to the detected object 102; the image processing device 106 is electrically connected to the infrared image detecting device 104 and the temperature processing device 108; the image analyzing unit 110 is electrically The infrared image detecting device 104 is connected to the infrared image detecting device 104. The error correcting unit 112 is electrically connected to the image analyzing unit 110.
該誤差校正單元112係用以設定誤差校正參數，以減少該些被偵測物件102間差異所產生的影響。該紅外線影像偵測裝置104可為一紅外線攝影機；該溫度處理裝置108可為一空調或一抽風機。The error correction unit 112 is configured to set an error correction parameter to reduce the influence of the difference between the detected objects 102. The infrared image detecting device 104 can be an infrared camera; the temperature processing device 108 can be an air conditioner or an exhaust fan.
請參考第二圖，其係為被偵測物件之一實施例示意圖。Please refer to the second figure, which is a schematic diagram of an embodiment of the detected object.
該被偵測物件102的外緣1022的材質係為一反射材質（例如一玻璃或一壓克力），如此該被偵測物件102的位置將容易被辨識。The material of the outer edge 1022 of the detected object 102 is a reflective material (for example, a glass or an acryl), so that the position of the detected object 102 will be easily recognized.
該被偵測物件102的內部1024的材質係為一反應環境溫度材質（例如一電工膠帶），如此該被偵測物件102將容易反應環境溫度。The material of the inner portion 1024 of the detected object 102 is a reactive ambient temperature material (for example, an electrical tape), so that the detected object 102 will easily react to the ambient temperature.
首先，該紅外線影像偵測裝置104獲得一鏡頭畫面影像；請參考第三圖，其係為鏡頭畫面影像之一實施例示意圖；該紅外線影像偵測裝置104獲得的該鏡頭畫面影像包含兩排該機櫃202及該些被偵測物件102。First, the infrared image detecting device 104 obtains a lens image; please refer to the third figure, which is a schematic diagram of an embodiment of the lens image; the image captured by the infrared image detecting device 104 includes two rows of the image. The cabinet 202 and the detected objects 102 are detected.
接著，該影像處理裝置106得知位於該鏡頭畫面影像中欲偵測溫度的該被偵測物件102的位置；例如使用者觀看該紅外線影像偵測裝置104的畫面並圈選出欲偵測溫度的該被偵測物件102的位置；或者是該影像處理裝置106內建有對應該被偵測物件102外緣形狀之數據，藉此該影像處理裝置106可以比對該鏡頭畫面影像，並決定欲偵測溫度的該些被偵測物件102的位置。Then, the image processing device 106 knows the position of the detected object 102 that is to be detected in the lens image image; for example, the user views the image of the infrared image detecting device 104 and selects the temperature to be detected. The position of the detected object 102; or the image processing device 106 has built-in data corresponding to the shape of the outer edge of the detected object 102, whereby the image processing device 106 can compare the image of the lens and determine the desire The position of the detected object 102 that detects the temperature.
然後，該影像處理裝置106分析位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件102的位置的灰階色調以獲得相關的溫度數據。Then, the image processing device 106 analyzes the grayscale hue of the positions of the detected objects 102 that are to be detected in the lens image to obtain the relevant temperature data.
最後，在該影像處理裝置106獲得溫度數據之後，該影像處理裝置106將溫度數據傳送至該溫度處理裝置108以進行調控溫度的動作。例如在某些地點的該些被偵測物件102的溫度過高，則將該些被偵測物件102的位置的空調的溫度調低以進行降溫。Finally, after the image processing device 106 obtains the temperature data, the image processing device 106 transmits the temperature data to the temperature processing device 108 to perform an operation of regulating the temperature. For example, if the temperature of the detected objects 102 in some places is too high, the temperature of the air conditioners at the positions of the detected objects 102 is lowered to perform cooling.
當該影像處理裝置106重新開機時，依據該影像處理裝置106上一次關機前該鏡頭畫面影像中欲偵測溫度的該些被偵測物件102的位置，該影像處理裝置106分析灰階色調以獲得相關的溫度數據；亦即，該影像處理裝置106關機前是分析哪些位置的灰階色調以獲得相關的溫度數據，在該影像處理裝置106重新開機後依舊分析那些位置的灰階色調以獲得相關的溫度數據。When the image processing device 106 is powered on, the image processing device 106 analyzes the grayscale hue according to the position of the detected object 102 in the lens image that is to be detected before the image processing device 106 is turned off. Obtaining relevant temperature data; that is, before the image processing device 106 is turned off, it is to analyze which positions of grayscale tones to obtain relevant temperature data, and after the image processing device 106 is restarted, the grayscale tones of those positions are still analyzed to obtain Relevant temperature data.
當該影像處理裝置106重新開機時，若該影像處理裝置106上一次關機前該鏡頭畫面影像中欲偵測溫度的該些被偵測物件102的位置與該影像處理裝置106重新開機後不同，該影像處理裝置106提出警示。例如增加了新的該被偵測物件102，或是某些該被偵測物件102被移除，或是某些被偵測物件102被移動過多；則該影像處理裝置106可內建例如蜂鳴器或發光二極體，藉以提出警示。When the image processing device 106 is powered on, if the image processing device 106 is turned off before the power is turned off, the position of the detected object 102 to be detected in the lens image is different from that after the image processing device 106 is turned on. The image processing device 106 presents an alert. For example, if the new detected object 102 is added, or some of the detected objects 102 are removed, or some of the detected objects 102 are moved too much, the image processing device 106 can be built in, for example, a buzzer. Or a light-emitting diode to give a warning.
本發明之溫度偵測系統10包含下列優點：The temperature sensing system 10 of the present invention includes the following advantages:
1.安裝容易：不需要溫度感應器，亦不需要溫度感應器的佈線；因此沒有通訊干擾的問題。1. Easy to install: no temperature sensor is required, and no wiring of the temperature sensor is required; therefore, there is no communication interference problem.
2.溫度數據可即時反應：該影像處理裝置106能在極短的時間內分析並獲得全部該些被偵測物件102的溫度數據。2. The temperature data can be reacted immediately: the image processing device 106 can analyze and obtain the temperature data of all the detected objects 102 in a very short time.
3.因為不需要溫度感應器，所以沒有溫度感應器的能量耗損。3. Since there is no need for a temperature sensor, there is no energy loss from the temperature sensor.
4.可量測大量位置的溫度。4. Measure the temperature in a large number of locations.
請參考第四圖，其係為本發明之溫度偵測方法流程圖。本發明之溫度偵測方法包含下列步驟：Please refer to the fourth figure, which is a flow chart of the temperature detecting method of the present invention. The temperature detecting method of the present invention comprises the following steps:
S02：一紅外線影像偵測裝置獲得一鏡頭畫面影像；請參考第三圖，其係為鏡頭畫面影像之一實施例示意圖。S02: An infrared image detecting device obtains a lens image; please refer to the third figure, which is a schematic diagram of an embodiment of the lens image.
S04：一影像處理裝置得知位於該鏡頭畫面影像中欲偵測溫度的複數被偵測物件的位置。S04: An image processing device knows the position of the plurality of detected objects located in the lens image image to detect the temperature.
例如使用者觀看該紅外線影像偵測裝置的畫面並圈選出欲偵測溫度的該些被偵測物件的位置；或者是該影像處理裝置內建有對應該被偵測物件外緣形狀之數據，藉此該影像處理裝置可以比對該鏡頭畫面影像，並決定欲偵測溫度的該些被偵測物件的位置。For example, the user views the screen of the infrared image detecting device and selects the position of the detected object to detect the temperature; or the image processing device has data corresponding to the shape of the outer edge of the object to be detected. Thereby, the image processing device can compare the lens image and determine the position of the detected objects to be detected.
S06：該影像處理裝置分析位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置的灰階色調以獲得相關的溫度數據。S06: The image processing device analyzes the grayscale hue of the positions of the detected objects in the image of the lens image to be detected to obtain the relevant temperature data.
S07: 設定誤差校正參數，以減少該些被偵測物件間差異所產生的影響。S07: Set the error correction parameters to reduce the influence of the difference between the detected objects.
在一實際之實施例，該溫度偵測方法係應用於一資料中心，藉以監控該資料中心的溫度；該些被偵測物件係設置在該資料中心的複數機櫃。In a practical embodiment, the temperature detecting method is applied to a data center to monitor the temperature of the data center; the detected objects are disposed in a plurality of cabinets in the data center.
該紅外線影像偵測裝置可為一紅外線攝影機。The infrared image detecting device can be an infrared camera.
請參考第二圖，其係為被偵測物件之一實施例示意圖。Please refer to the second figure, which is a schematic diagram of an embodiment of the detected object.
該被偵測物件的外緣的材質係為一反射材質（例如一玻璃或一壓克力），如此該被偵測物件的位置將容易被辨識。The material of the outer edge of the detected object is a reflective material (for example, a glass or an acrylic), so that the position of the detected object will be easily recognized.
該被偵測物件的內部的材質係為一反應環境溫度材質（例如一電工膠帶），如此該被偵測物件將容易反應環境溫度。The material of the detected object is a reaction environment temperature material (for example, an electrical tape), so that the detected object will easily react to the ambient temperature.
當該影像處理裝置重新開機時，依據該影像處理裝置上一次關機前該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置，該影像處理裝置分析灰階色調以獲得相關的溫度數據；亦即，該影像處理裝置關機前是分析哪些位置的灰階色調以獲得相關的溫度數據，在該影像處理裝置重新開機後依舊分析那些位置的灰階色調以獲得相關的溫度數據。When the image processing device is powered on, the image processing device analyzes the grayscale hue to obtain the relevant temperature according to the position of the detected object in the lens image before the last shutdown of the image processing device. Data; that is, before the image processing apparatus is turned off, it is to analyze the grayscale tones of the positions to obtain the relevant temperature data, and after the image processing apparatus is restarted, the grayscale tones of those positions are still analyzed to obtain the relevant temperature data.
當該影像處理裝置重新開機時，若該影像處理裝置上一次關機前該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置與該影像處理裝置重新開機後不同，該影像處理裝置提出警示。例如增加了新的該被偵測物件，或是某些該被偵測物件被移除，或是某些被偵測物件被移動過多；則該影像處理裝置可內建例如蜂鳴器或發光二極體，藉以提出警示。When the image processing device is powered on, if the position of the detected object in the lens image image before the image processing device is turned off is different from that after the image processing device is powered on, the image processing device is different. Propose a warning. For example, if the new detected object is added, or some of the detected objects are removed, or some of the detected objects are moved too much, the image processing device may be built in, for example, a buzzer or a light emitting device. Polar body, to raise warnings.
請參考第六圖，其係為本發明之溫度偵測方法之另一實施例流程圖。本發明之溫度偵測方法包含下列步驟：Please refer to the sixth figure, which is a flow chart of another embodiment of the temperature detecting method of the present invention. The temperature detecting method of the present invention comprises the following steps:
S02：一紅外線影像偵測裝置獲得一鏡頭畫面影像；請參考第三圖，其係為鏡頭畫面影像之一實施例示意圖。S02: An infrared image detecting device obtains a lens image; please refer to the third figure, which is a schematic diagram of an embodiment of the lens image.
S04：一影像處理裝置得知位於該鏡頭畫面影像中欲偵測溫度的複數被偵測物件的位置。S04: An image processing device knows the position of the plurality of detected objects located in the lens image image to detect the temperature.
例如使用者觀看該紅外線影像偵測裝置的畫面並圈選出欲偵測溫度的該些被偵測物件的位置；或者是該影像處理裝置內建有對應該被偵測物件外緣形狀之數據，藉此該影像處理裝置可以比對該鏡頭畫面影像，並決定欲偵測溫度的該些被偵測物件的位置。For example, the user views the screen of the infrared image detecting device and selects the position of the detected object to detect the temperature; or the image processing device has data corresponding to the shape of the outer edge of the object to be detected. Thereby, the image processing device can compare the lens image and determine the position of the detected objects to be detected.
S06：該影像處理裝置分析位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置的灰階色調以獲得相關的溫度數據。S06: The image processing device analyzes the grayscale hue of the positions of the detected objects in the image of the lens image to be detected to obtain the relevant temperature data.
S07: 設定誤差校正參數，以減少該些被偵測物件間差異所產生的影響。S07: Set the error correction parameters to reduce the influence of the difference between the detected objects.
S08：該影像處理裝置獲得溫度數據之後，該影像處理裝置將溫度數據傳送至一溫度處理裝置以進行調控溫度的動作。例如在某些地點的該些被偵測物件的溫度過高，則將該些被偵測物件的位置的空調的溫度調低以進行降溫。S08: After the image processing device obtains the temperature data, the image processing device transmits the temperature data to a temperature processing device to perform an operation of regulating the temperature. For example, if the temperature of the detected objects in some places is too high, the temperature of the air conditioners at the positions of the detected objects is lowered to perform cooling.
在一實際之實施例，該溫度偵測方法係應用於一資料中心，藉以監控該資料中心的溫度；該些被偵測物件係設置在該資料中心的複數機櫃。In a practical embodiment, the temperature detecting method is applied to a data center to monitor the temperature of the data center; the detected objects are disposed in a plurality of cabinets in the data center.
該紅外線影像偵測裝置可為一紅外線攝影機；該溫度處理裝置可為一空調或一抽風機。The infrared image detecting device can be an infrared camera; the temperature processing device can be an air conditioner or an exhaust fan.
請參考第二圖，其係為被偵測物件之一實施例示意圖。Please refer to the second figure, which is a schematic diagram of an embodiment of the detected object.
該被偵測物件的外緣的材質係為一反射材質（例如一玻璃或一壓克力），如此該被偵測物件的位置將容易被辨識。The material of the outer edge of the detected object is a reflective material (for example, a glass or an acrylic), so that the position of the detected object will be easily recognized.
該被偵測物件的內部的材質係為一反應環境溫度材質（例如一電工膠帶），如此該被偵測物件將容易反應環境溫度。The material of the detected object is a reaction environment temperature material (for example, an electrical tape), so that the detected object will easily react to the ambient temperature.
當該影像處理裝置重新開機時，依據該影像處理裝置上一次關機前該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置，該影像處理裝置分析灰階色調以獲得相關的溫度數據；亦即，該影像處理裝置關機前是分析哪些位置的灰階色調以獲得相關的溫度數據，在該影像處理裝置重新開機後依舊分析那些位置的灰階色調以獲得相關的溫度數據。When the image processing device is powered on, the image processing device analyzes the grayscale hue to obtain the relevant temperature according to the position of the detected object in the lens image before the last shutdown of the image processing device. Data; that is, before the image processing apparatus is turned off, it is to analyze the grayscale tones of the positions to obtain the relevant temperature data, and after the image processing apparatus is restarted, the grayscale tones of those positions are still analyzed to obtain the relevant temperature data.
當該影像處理裝置重新開機時，若該影像處理裝置上一次關機前該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置與該影像處理裝置重新開機後不同，該影像處理裝置提出警示。例如增加了新的該被偵測物件，或是某些該被偵測物件被移除，或是某些被偵測物件被移動過多；則該影像處理裝置可內建例如蜂鳴器或發光二極體，藉以提出警示。When the image processing device is powered on, if the position of the detected object in the lens image image before the image processing device is turned off is different from that after the image processing device is powered on, the image processing device is different. Propose a warning. For example, if the new detected object is added, or some of the detected objects are removed, or some of the detected objects are moved too much, the image processing device may be built in, for example, a buzzer or a light emitting device. Polar body, to raise warnings.
本發明之溫度偵測方法包含下列優點：The temperature detecting method of the present invention includes the following advantages:
1.安裝容易：不需要溫度感應器，亦不需要溫度感應器的佈線；因此沒有通訊干擾的問題。1. Easy to install: no temperature sensor is required, and no wiring of the temperature sensor is required; therefore, there is no communication interference problem.
2.溫度數據可即時反應：該影像處理裝置能在極短的時間內分析並獲得全部該些被偵測物件的溫度數據。2. The temperature data can be reacted immediately: the image processing device can analyze and obtain the temperature data of all the detected objects in a very short time.
3.因為不需要溫度感應器，所以沒有溫度感應器的能量耗損。3. Since there is no need for a temperature sensor, there is no energy loss from the temperature sensor.
4.可量測大量位置的溫度。4. Measure the temperature in a large number of locations.
綜上所述，當知本發明已具有產業利用性、新穎性與進步性，又本發明之構造亦未曾見於同類產品及公開使用，完全符合發明專利申請要件，爰依專利法提出申請。In summary, it is known that the present invention has industrial applicability, novelty and advancement, and the structure of the present invention has not been seen in similar products and public use, and fully complies with the requirements of the invention patent application, and is filed according to the patent law.
10．．．溫度偵測系統10. . . Temperature detection system
20．．．資料中心20. . . information Center
102．．．被偵測物件102. . . Detected object
104．．．紅外線影像偵測裝置104. . . Infrared image detecting device
106．．．影像處理裝置106. . . Image processing device
108．．．溫度處理裝置108. . . Temperature treatment device
110．．．影像分析單元110. . . Image analysis unit
112．．．誤差校正單元112. . . Error correction unit
1022．．．外緣1022. . . Outer edge
1024．．．內部1024. . . internal
202．．．機櫃202. . . Cabinet
S02~S08．．．步驟S02~S08. . . step
第一圖為本發明之溫度偵測系統方塊圖。The first figure is a block diagram of the temperature detecting system of the present invention.
第二圖為被偵測物件之一實施例示意圖。The second figure is a schematic diagram of an embodiment of the detected object.
第三圖為鏡頭畫面影像之一實施例示意圖。The third figure is a schematic diagram of an embodiment of a lens image.
第四圖為本發明之溫度偵測方法流程圖。The fourth figure is a flow chart of the temperature detecting method of the present invention.
第五圖為本發明之溫度偵測系統另一實施例方塊圖。The fifth figure is a block diagram of another embodiment of the temperature detecting system of the present invention.
第六圖為本發明之溫度偵測方法之另一實施例流程圖。The sixth figure is a flow chart of another embodiment of the temperature detecting method of the present invention.
10．．．溫度偵測系統10. . . Temperature detection system
102．．．被偵測物件102. . . Detected object
104．．．紅外線影像偵測裝置104. . . Infrared image detecting device
106．．．影像處理裝置106. . . Image processing device
110．．．影像分析單元110. . . Image analysis unit
112．．．誤差校正單元112. . . Error correction unit
Claims (20)
複數被偵測物件，係設置在該資料中心的複數機櫃；
一紅外線影像偵測裝置，係相對於該些被偵測物件設置；及
一影像處理裝置，係電性連接至該紅外線影像偵測裝置，
其中該紅外線影像偵測裝置獲得一鏡頭畫面影像；該影像處理裝置得知位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置；該影像處理裝置分析位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置的灰階色調以獲得相關的溫度數據；其中該影像處理裝置內建有對應該被偵測物件外緣形狀之數據，藉此該影像處理裝置可以比對該鏡頭畫面影像，並決定欲偵測溫度的該些被偵測物件的位置。A temperature detecting system is disposed in a data center for monitoring the temperature of the data center. The temperature detecting system comprises:
a plurality of detected objects are disposed in a plurality of cabinets in the data center;
An infrared image detecting device is disposed relative to the detected objects; and an image processing device is electrically connected to the infrared image detecting device.
The infrared image detecting device obtains a lens image; the image processing device knows the position of the detected object located in the lens image to detect the temperature; and the image processing device analyzes the image in the lens image The grayscale tone of the position of the detected object to be detected to obtain the relevant temperature data; wherein the image processing device has data corresponding to the shape of the outer edge of the object to be detected, whereby the image processing device The camera screen image can be compared and the position of the detected objects to be detected is determined.
a.一紅外線影像偵測裝置獲得一鏡頭畫面影像；
b.一影像處理裝置得知位於該鏡頭畫面影像中欲偵測溫度的複數被偵測物件的位置；及
c.該影像處理裝置分析位於該鏡頭畫面影像中欲偵測溫度的該些被偵測物件的位置的灰階色調以獲得相關的溫度數據，
其中該些被偵測物件係設置在該資料中心的複數機櫃；其中在該步驟b，該影像處理裝置內建有對應該被偵測物件外緣形狀之數據，藉此該影像處理裝置可以比對該鏡頭畫面影像，並決定欲偵測溫度的該些被偵測物件的位置。A temperature detecting method is applied to a data center to monitor the temperature of the data center. The temperature detecting method includes:
a. an infrared image detecting device obtains a lens image;
b. an image processing device knows the position of the plurality of detected objects located in the lens image image to detect the temperature; and
c. The image processing device analyzes grayscale tones of the positions of the detected objects in the image of the lens image to be detected to obtain relevant temperature data,
The detected object is disposed in a plurality of cabinets of the data center; wherein in the step b, the image processing device has data corresponding to the shape of the outer edge of the object to be detected, whereby the image processing device can The image of the lens is determined, and the positions of the detected objects to be detected are determined.
d.設定誤差校正參數，以減少該些被偵測物件間差異所產生的影響。For example, the temperature detecting method described in claim 15 of the patent application further includes:
d. Set the error correction parameters to reduce the impact of the differences between the detected objects.
e.該影像處理裝置獲得溫度數據之後，該影像處理裝置將溫度數據傳送至一溫度處理裝置以進行調控溫度的動作。For example, the temperature detecting method described in claim 18 of the patent scope further includes:
e. After the image processing device obtains the temperature data, the image processing device transmits the temperature data to a temperature processing device to perform an action of regulating the temperature.
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| TW100132327A TWI445934B (en) | 2011-09-07 | 2011-09-07 | Temperature-detecting system and temperature-detecting method |
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| CN105698937A (en) * | 2016-04-13 | 2016-06-22 | 云南电网有限责任公司电力科学研究院 | Infrared temperature-detecting device and method |
| JP6646549B2 (en) * | 2016-08-30 | 2020-02-14 | アズビル株式会社 | Monitoring device, monitoring method, and program. |
| CN109413386B (en) * | 2018-10-30 | 2021-02-05 | 广州科易光电技术有限公司 | Temperature monitoring method and system |
| CN110793635B (en) * | 2019-10-10 | 2020-10-23 | 深圳市景阳信息技术有限公司 | Thermal imaging temperature measurement method and device and terminal equipment |
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